Handling missing data in trees: Surrogate splits or statistical imputation?

A.J. Feelders

Handling missing data in trees: Surrogate splits or statistical imputation?

A.J. Feelders

Research Group: Operations Research

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

Original language	English
Title of host publication	Principles of Data Mining and Knowledge Discovery
Editors	J.M. Zytkow, J. Rauch
Place of Publication	Berlin
Publisher	Springer Verlag
Pages	329-334
ISBN (Print)	3540664904
Publication status	Published - 1999

Publication series

Name	Lecture Notes in Artificial Intelligence
Number	1704

Cite this

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title = "Handling missing data in trees: Surrogate splits or statistical imputation?",

author = "A.J. Feelders",

year = "1999",

language = "English",

isbn = "3540664904",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer Verlag",

number = "1704",

pages = "329--334",

editor = "J.M. Zytkow and J. Rauch",

booktitle = "Principles of Data Mining and Knowledge Discovery",

address = "Germany",

}

Handling missing data in trees : Surrogate splits or statistical imputation? / Feelders, A.J.

Principles of Data Mining and Knowledge Discovery. ed. / J.M. Zytkow; J. Rauch. Berlin : Springer Verlag, 1999. p. 329-334 (Lecture Notes in Artificial Intelligence; No. 1704).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review